The goal of 'rFIA' is to increase the accessibility and use of the United States Forest Services (USFS) Forest Inventory and Analysis (FIA) Database by providing a user-friendly, open source toolkit to easily query and analyze FIA Data. Designed to accommodate a wide range of potential user objectives, 'rFIA' simplifies the estimation of forest variables from the FIA Database and allows all R users (experts and newcomers alike) to unlock the flexibility inherent to the Enhanced FIA design. Specifically, 'rFIA' improves accessibility to the spatial-temporal estimation capacity of the FIA Database by producing space-time indexed summaries of forest variables within user-defined population boundaries. Direct integration with other popular R packages (e.g., 'dplyr', 'tidyr', and 'sf') facilitates efficient space-time query and data summary, and supports common data representations and API design. The package implements design-based estimation procedures outlined by Bechtold & Patterson (2005) <doi:10.2737/SRS-GTR-80>, and has been validated against estimates and sampling errors produced by FIA 'EVALIDator'. Current development is focused on the implementation of spatially-enabled model-assisted and model-based estimators to improve population, change, and ratio estimates.
Version: 1.1.1 Depends: R (≥ 4.1.0) Imports: dplyr (≥ 1.0.0), dtplyr (≥ 1.0.0), tidyr (≥ 1.0.0), stringr, sf, parallel, methods, data.table, bit64, tidyselect (≥ 1.0.0), rlang, ggplot2 Suggests: knitr, rmarkdown, gganimate, R2jags, coda, testthat Published: 2025-03-10 DOI: 10.32614/CRAN.package.rFIA Author: Jeffrey Doser [aut, cre], Hunter Stanke [aut], Andrew Finley [aut] Maintainer: Jeffrey Doser <jwdoser at ncsu.edu> BugReports: https://github.com/doserjef/rFIA/issues License: GPL-3 URL: https://github.com/doserjef/rFIA, https://www.doserlab.com/files/rFIA NeedsCompilation: no Citation: rFIA citation info Materials: README NEWS CRAN checks: rFIA results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=rFIA to link to this page.
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